Speaker identification is the process of finding the speaker by voice. There are two approaches to compare votes. The first is speaker identification. The second is speaker verification. Speaker verification is most often used in user authorization systems. For example, a person's voice can be a biometric method of authorization in the system. Speaker identification is used in many areas such as financial services, healthcare, hospitality and so on. From this we can conclude that the identification of the speaker is an urgent problem today. There are various ways to identify a user, ranging from conventional machine learning models to neural networks. The purpose of this article is to compare voice identification models, since choosing a suitable model is a difficult choice. Models will be compared based on many criteria, including the dataset on which they were trained.